Image And Text Compression

This book presents exciting recent research on the compression of images and text. Part 1 presents the (lossy) image compression techniques of vector quantization, iterated transforms (fractal compression), and techniques that employ optical hardware. Part 2 presents the (lossless) text compression techniques of arithmetic coding, context modeling, and dictionary methods (LZ methods); this part of the book also addresses practical massively parallel architectures for text compression. Part 3 presents theoretical work in coding theory that has applications to both text and image compression. The book ends with an extensive bibliography of data compression papers and books which can serve as a valuable aid to researchers in the field.
Points of Interest:

• Data compression is becoming a key factor in the digital storage of text, speech graphics, images, and video, digital communications, data bases, and supercomputing.
• The book addresses 'hot' data compression topics such as vector quantization, fractal compression, optical data compression hardware, massively parallel hardware, LZ methods, arithmetic coding.
• Contributors are all accomplished researchers.
• Extensive bibliography to aid researchers in the field.

This book presents exciting recent research on the compression of images and text. Part 1 presents the (lossy) image compression techniques of vector quantization, iterated transforms (fractal compression), and techniques that employ optical hardware. Part 2 presents the (lossless) text compression techniques of arithmetic coding, context modeling, and dictionary methods (LZ methods); this part of the book also addresses practical massively parallel architectures for text compression. Part 3 presents theoretical work in coding theory that has applications to both text and image compression. The book ends with an extensive bibliography of data compression papers and books which can serve as a valuable aid to researchers in the field.
Points of Interest:

• Data compression is becoming a key factor in the digital storage of text, speech graphics, images, and video, digital communications, data bases, and supercomputing.
• The book addresses 'hot' data compression topics such as vector quantization, fractal compression, optical data compression hardware, massively parallel hardware, LZ methods, arithmetic coding.
• Contributors are all accomplished researchers.
• Extensive bibliography to aid researchers in the field.

Booknews

Data compression is the process of encoding a body of data to reduce storage requirements. With lossless compression, data can be compressed to be identical to the original, whereas with lossy compression, decompressed data may be an acceptable approximation to the original. The first part of this volume addresses lossy image compression and the second part lossless text compression. The third part addresses techniques from coding theory, which are applicable to both lossy and lossless compression. The chapters were contributed by members of the program committee of the First Annual IEEE Data Compression Conference, held in Snowbird, Utah, April 1991. Includes an extensive (75-page) bibliography. Annotation c. Book News, Inc., Portland, OR (booknews.com)